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中国农学通报 ›› 2014, Vol. 30 ›› Issue (23): 244-248.doi: 10.11924/j.issn.1000-6850.2013-2934

所属专题: 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

高寒冷凉地区日光温室CO2浓度变化规律

胡德奎 朱宝文 何永晴   

  • 收稿日期:2013-11-08 修回日期:2014-01-10 出版日期:2014-08-15 发布日期:2014-08-15
  • 基金资助:
    青海省气象局气象科研重点项目“冬暖式日光温室环境气象保障关键技术集成应用”(20130007);西宁市农业气象服务开放基金项目“设施内主要气象要素预报及小气候调控技术”(2012003)。

The Variation of CO2 Concentration in Greenhouse Alpine Cold Region

  • Received:2013-11-08 Revised:2014-01-10 Online:2014-08-15 Published:2014-08-15

摘要: 为了解高寒冷凉地区日光温室内CO2浓度变化特征,预报温室内CO2浓度,调控温室内CO2浓度提供依据,根据2012年4月—2013年3月大通县国家现代农业示范园区节能日光温室内CO2浓度、温室内外气象要素观测资料,及大通县气象观测数据,分析高寒冷凉地区不同天气类型下日光温室CO2浓度变化规律。结果表明,试验期间CO2浓度在184~577 mg/kg之间,日平均值为383 mg/kg,日平均和最小值均呈极显著上升态势;不论何种天气类型,日光温室CO2浓度日变化均呈“U”型曲线,作物生长的旺盛期,自然通风无法避免CO2亏缺;CO2浓度最小值多云天与日地表温度最大值之间的相关性最好,晴天和阴天与日平均温度间的相关性最佳;除2013年3月外,各月均出现CO2亏缺现象,CO2亏缺时长与日CO2浓度最小值间存在二次曲线关系。

关键词: 培养基优化, 培养基优化

Abstract: In order to understand the changes in the concentration of CO2 greenhouse characteristic in alpine cold regions, forecast greenhouse CO2 concentration, CO2 concentration provide the basis for regulating greenhouse. According to April 2012 to March 2013 the state of modern agricultural demonstration park in Datong County of greenhouse gas concentrations of CO2, inside and outside the greenhouse meteorological observations, and Datong meteorological observation data, the author analyzed alpine cold regions under different weather types greenhouse CO2 concentration variation. The results showed that: the CO2 concentration in the range of 184-577 mg/kg during the test, daily average was 383 mg/kg, minimum and daily average showed a significant upward trend; regardless of the weather types, CO2 concentration diurnal variation showed ‘U’ shaped curve, strong growth of crops, natural ventilation could not be avoided CO2 deficit; CO2 concentration in the cloudy sky and the minimum surface temperature at the best correlation between the maximum, sunny and cloudy days with daily average temperature correlation between the best. In addition to March 2013, each month had shown a deficit phenomenon of CO2, CO2 deficit duration and daily had a relationship between the minimum CO2 concentrations, which was a quadratic curve.